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Clonality: an R package for testing clonal relatedness of two tumors from the same patient based on their genomic profiles

机译:克隆性:一种R程序包,用于根据同一患者的基因组概况测试其两个肿瘤的克隆相关性

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摘要

Summary: If a cancer patient develops multiple tumors, it is sometimes impossible to determine whether these tumors are independent or clonal based solely on pathological characteristics. Investigators have studied how to improve this diagnostic challenge by comparing the presence of loss of heterozygosity (LOH) at selected genetic locations of tumor samples, or by comparing genomewide copy number array profiles. We have previously developed statistical methodology to compare such genomic profiles for an evidence of clonality. We assembled the software for these tests in a new R package called ‘Clonality’. For LOH profiles, the package contains significance tests. The analysis of copy number profiles includes a likelihood ratio statistic and reference distribution, as well as an option to produce various plots that summarize the results.
机译:简介:如果癌症患者出现多个肿瘤,有时无法仅根据病理特征确定这些肿瘤是独立的还是克隆的。研究人员已经研究了如何通过比较在肿瘤样本的选定遗传位置上杂合性缺失(LOH)的存在或通过比较全基因组拷贝数阵列图谱来改善这一诊断挑战。我们先前已经开发了统计方法,可以比较此类基因组图谱以证明克隆性。我们在名为“ Clonality”的新R包中组装了用于这些测试的软件。对于LOH配置文件,该软件包包含重要性测试。拷贝数分布图的分析包括似然比统计量和参考分布,以及用于生成汇总结果的各种图的选项。

著录项

  • 来源
    《Bioinformatics》 |2011年第12期|p.1698-1699|共2页
  • 作者

    Colin B. Begg;

  • 作者单位
  • 收录信息 美国《科学引文索引》(SCI);美国《化学文摘》(CA);
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

  • 入库时间 2022-08-18 01:12:43

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